Abstract
In 1984, N. Karmarkar at AT&T Bell Labs, proposed a new method of solving the linear programming problem. It was claimed that this method, an interior point method (IPM), would be able to solve certain large-scale linear programming problems many times faster on average than the existing Simplex method. Recent studies have indicated that the interior point methods do seem to offer the computational advantages claimed. Furthermore, tremendous progress has also been made in recent years in developing highly efficient sparse solvers, an essential component of IPM. It is the purpose of this paper to explain a version of IPM and a version of direct sparse solver which has the capability of solving indefinite system of equations that arise from IPM.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
